Skip to content

An R package for extracting 'tidy' data frames from geoRSS feeds. Little brother of tidyRSS (https://github.com/RobertMyles/tidyRSS)

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md
Notifications You must be signed in to change notification settings

RobertMyles/tidygeoRSS

Repository files navigation

tidygeoRSS 🌎 🌍 🌏

R-CMD-check CRAN_Status_Badge

The idea of tidygeoRSS is to parse ‘geo’ feeds – RSS, Atom and JSON – and return them as tibbles complete with the geographical information in a way that is compatible with the sf library.

For more information on these formats, see:

Installation

You can install the released version of tidygeoRSS from CRAN with:

install.packages("tidygeoRSS")

And the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("RobertMyles/tidygeoRSS")

Installing sf

tidygeoRSS relies on sf, which also relies on some system dependencies, so you will most likely have to install certain things before using tidygeoRSS. More information is available here.

Usage

geoJSON example

library(tidygeoRSS)
tidygeo("https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/2.5_day.geojson")
#> GET request successful. Parsing...
#> # A tibble: 39 x 30
#>    feed_title feed_url time_generated id      mag place    time updated url  
#>    <chr>      <chr>             <dbl> <chr> <dbl> <chr>   <dbl>   <dbl> <chr>
#>  1 USGS Magn… https:/…  1591352536000 ak02…  2.5  "40 … 1.59e12 1.59e12 http…
#>  2 USGS Magn… https:/…  1591352536000 pr20…  2.58 "12 … 1.59e12 1.59e12 http…
#>  3 USGS Magn… https:/…  1591352536000 us60…  5.2  "128… 1.59e12 1.59e12 http…
#>  4 USGS Magn… https:/…  1591352536000 us60…  4.1  "107… 1.59e12 1.59e12 http…
#>  5 USGS Magn… https:/…  1591352536000 pr20…  2.85 "2 k… 1.59e12 1.59e12 http…
#>  6 USGS Magn… https:/…  1591352536000 us60…  5.1  "198… 1.59e12 1.59e12 http…
#>  7 USGS Magn… https:/…  1591352536000 us60…  3.2  "12 … 1.59e12 1.59e12 http…
#>  8 USGS Magn… https:/…  1591352536000 us60…  4.5  "50 … 1.59e12 1.59e12 http…
#>  9 USGS Magn… https:/…  1591352536000 us60…  4.5  "54 … 1.59e12 1.59e12 http…
#> 10 USGS Magn… https:/…  1591352536000 us60…  4.1  "9 k… 1.59e12 1.59e12 http…
#> # … with 29 more rows, and 21 more variables: detail <chr>, felt <int>,
#> #   cdi <dbl>, mmi <dbl>, alert <chr>, status <chr>, tsunami <int>, sig <int>,
#> #   net <chr>, code <chr>, ids <chr>, sources <chr>, types <chr>, nst <int>,
#> #   dmin <dbl>, rms <dbl>, gap <dbl>, magType <chr>, type <chr>, title <chr>,
#> #   geometry <POINT [°]>

geo-Atom example

tidygeo("https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.atom")
#> GET request successful. Parsing...
#> Simple feature collection with 14 features and 13 fields
#> geometry type:  POINT
#> dimension:      XY
#> bbox:           xmin: 35.621 ymin: -149.9918 xmax: 64.6012 ymax: -117.4023
#> CRS:            NA
#> # A tibble: 14 x 14
#>    feed_title feed_url feed_last_updated   feed_author feed_link feed_icon
#>    <chr>      <chr>    <dttm>              <chr>       <chr>     <chr>    
#>  1 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  2 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  3 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  4 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  5 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  6 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  7 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  8 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#>  9 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#> 10 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#> 11 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#> 12 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#> 13 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#> 14 USGS All … https:/… 2020-06-05 09:22:42 U.S. Geolo… https://… https://…
#> # … with 8 more variables: entry_title <chr>, entry_url <chr>,
#> #   entry_last_updated <dttm>, entry_link <chr>, entry_summary <chr>,
#> #   entry_category <list>, entry_latlon <POINT>, entry_elev <dbl>

geoRSS example

tidygeo("http://www.geograph.org.uk/syndicator.php?format=GeoRSS")
#> GET request successful. Parsing...
#> Simple feature collection with 15 features and 7 fields
#> geometry type:  POINT
#> dimension:      XY
#> bbox:           xmin: 50.55285 ymin: -3.620593 xmax: 55.58201 ymax: 0.018502
#> CRS:            NA
#> # A tibble: 15 x 8
#>    feed_title feed_link feed_description item_title item_link item_description
#>    <chr>      <chr>     <chr>            <chr>      <chr>     <chr>           
#>  1 Geograph … https://… Latest Images    SK5023 : … https://… "Lock #55 on th…
#>  2 Geograph … https://… Latest Images    NT2732 : … https://…  <NA>           
#>  3 Geograph … https://… Latest Images    SK5023 : … https://… "Carrying a bri…
#>  4 Geograph … https://… Latest Images    TL3763 : … https://… "The Pavilion f…
#>  5 Geograph … https://… Latest Images    SP9123 : … https://…  <NA>           
#>  6 Geograph … https://… Latest Images    SK5023 : … https://… "A canalised se…
#>  7 Geograph … https://… Latest Images    SK5023 : … https://… "One of two wei…
#>  8 Geograph … https://… Latest Images    SK5023 : … https://… "One of two wei…
#>  9 Geograph … https://… Latest Images    SK6111 : … https://… "Ordnance Surve…
#> 10 Geograph … https://… Latest Images    SK5023 : … https://… "One of two wei…
#> 11 Geograph … https://… Latest Images    SP9121 : … https://…  <NA>           
#> 12 Geograph … https://… Latest Images    NZ2947 : … https://…  <NA>           
#> 13 Geograph … https://… Latest Images    SK5023 : … https://… "The river flow…
#> 14 Geograph … https://… Latest Images    SX8573 : … https://… "Visible on the…
#> 15 Geograph … https://… Latest Images    ST9752 : … https://… "Looking over t…
#> # … with 2 more variables: item_category <list>, item_latlon <POINT>

About

An R package for extracting 'tidy' data frames from geoRSS feeds. Little brother of tidyRSS (https://github.com/RobertMyles/tidyRSS)

Topics

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Packages

No packages published

Languages